Publications

Publications

Journal articles and selected conference papers.

Journal Articles

Under Review2026

Manufacturing Capability-Aware Supplier Identification: How Representation Methods Affect Performance, Robustness, and Information Exposure

Suyoung Park*, Shreyes N. Melkote

* First & corresponding author

Journal of Manufacturing Systems

Conference Papers

Published2023

Pose Estimation of a Mobile Robot for Accurate Object Detection Using Digital Twin and Bayesian Optimization

Su-Young Park, Sung-Hoon Ahn

ASPEN, Hong Kong · November 2023

Published2023

Automation of Manufacturing Equipment Arrangement Including Robotic Arm Using Bayesian Optimization

Su-Young Park, H. J. Kim, Sung-Hoon Ahn

PRESM, Okinawa, Japan · July 2023

Published2022

Digital Twin-Based Object Detection of Camera-Mounted Robot Arm Using Deep Reinforcement Learning

Su-Young Park, H. J. Kim, S. H. Jeong, J. H. Lee, Sung-Hoon Ahn

ASPEN, Singapore · November 2022

Published2020

Solar-Powered Agricultural Community Development by Innovative Technology and Energy Center (iTEC)

H. Rhee, Su-Young Park, W. K. Jung, B. R. Ha, J. H. Moon, Sung-Hoon Ahn

11th International Conference on Appropriate Technology, Online · December 2020 · Best Paper Award

Current Work

In Preparation

In PreparationWorking title

Robot Deployment Capability for Industrial Tasks: A Task-Aware Evaluation and Qualification Framework

Develops a task-aware framework for evaluating robotic capabilities against reachability, collision-free accessibility, spatial constraints, and deployment requirements.

In PreparationWorking title

Multi-Agent LLM Framework for Capability-Aware Multi-Tier Supplier Identification

Develops a multi-agent framework for identifying and evaluating suppliers across multi-tier manufacturing networks using structured capability evidence.

In PreparationWorking title

Privacy-Preserving Manufacturing Capability Representation and Sharing for Cyber Manufacturing

Examines how manufacturing capabilities can support technical matching while limiting unnecessary exposure of sensitive supplier information.

In PreparationWorking title

Acoustic Digital Twin for Optimal Sensor Placement in Assembly Anomaly Detection

Develops an acoustic digital twin to evaluate and optimize sensor placement for detecting assembly-process anomalies from spatial acoustic measurements.